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Estimation Of Probability Models From Income Class Data

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  • J.S. Cramer

Abstract

. Many household surveys report income by a limited number of classes only. In Engel curve analyses of such data, income is usually equated to the class midpoint. We argue that it is better to specify a continuous income distribution over the entire range, and to estimate its parameters jointly with the Engel curve coefficients; the position of the dependent variable within income classes is sufficiently informative about the income distribution parameters. The method is illustrated for a simple logit model of automobile ownership. The effect on estimation is perceptible, but not impressive; further analysis suggests that the standard method is acceptable provided some care is taken over the income class limits at the lower end of the range.

Suggested Citation

  • J.S. Cramer, 1986. "Estimation Of Probability Models From Income Class Data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 40(4), pages 237-250, December.
    • Handle: RePEc:bla:stanee:v:40:y:1986:i:4:p:237-250
    DOI: 10.1111/j.1467-9574.1986.tb01203.x
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